Job Description

  • Build and develop credit risk/fraud models to assess risk, ensuring high accuracy and explainability of the models to comply with regulatory frameworks and requirements.
  • Lead the development of a machine learning platform that empowers clients to build and customize their risk models, enabling more tailored risk management solutions.
  • Align data solutions with business objectives and technical constraints, adapting to the evolving market dynamics, regulatory landscape, and client requirements.
  • Work closely with cross-functional teams, including data engineering, product management, and business teams, to manage and lead various aspects of the product lifecycle, from conception to delivery.
  • Monitor model performance and maintain risk management protocols by retraining models as needed, ensuring ongoing accuracy and regulatory compliance.
  • Stay updated on industry trends, regulations, and emerging technologies to continuously improve the mode...

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